Use of the Radon Transform as a Method of Extracting Symbolic Representations of Shape in Two Dimensions
V. F. Leavers · 1988
The perception and representation of shape plays a prominent role in computer vision research. Vision alone cannot deliver computationally real-istic descriptions of shape; the image must first be processed to extract symbolic representations of the sort computers can manipulate. The present work evaluates the use of the Radon transform as a means whereby the transition from edge image data to symbolic representation may be realized. The potential of the method is developed and illus-trated by consideration of the criteria fundamental to an efficient representation of shape. Geometric properties and spatial relations made explicit by the transformation are listed and used to encode rep-resentations of shape. A methodology is suggested for the extraction of the salient features of a model representation, the use of those features in object recognition and the recovery of the viewer object correspondence. 1